Data Customer

OINDRILA CHOUDHURY

+1-206-***-**** adb497@r.postjobfree.com Seattle, WA https://www.linkedin.com/in/oindrilachoudhury

SUMMARY

Information Management graduate student specializing in Business Intelligence and Data Science with professional experience in providing data driven decisions and deploying machine learning algorithms to solve business problems. I am always curious about implementing the best practices to have the right balance between people, process and technology in business.

1.Technical Skills: SQL (SQL Server & Oracle), Python, R, Java

2.Tools and Frameworks: Tableau, Visio, Excel, PowerBI, Numpy, Pandas, scikit-learn

3.Competencies: Relational Databases, Data Analysis, Business Statistics, Data Visualization, Machine Learning, Agile Methodology

EDUCATION

University of Washington, Seattle, WA 2019 - 2021

Master of Science in Information Management, Specializations: Data Science and Business Intelligence (3.75/4)

Relevant Courses: Data Science Theoretical Foundations, Machine Learning and Econometrics, Relational Database Management Systems, Scaling and Distributed computing.

SRM Institute of Science and Technology, India 2014 - 2018

Bachelor of Technology, Computer Science Engineering (8.57/10)

Relevant Coursework: Data Structures, Artificial Intelligence, Data Mining, Data Warehouse, Software Engineering

PROFESSIONAL EXPERIENCE

Datamatics Global Service Limited August 2018 - July 2019

Data Science Consultant (MS Excel, R programming, MS Word, MS PowerPoint and BI tool)

1. Business Intelligence Tool, web-based product – TruBI

●Designed a module on 'TruBI' by applying K-Means clustering algorithm, to improve product satisfaction.

●Collaborated with different stakeholders to provide enhancements on the module and improved its efficiency by 30%.

Impact: 40% decrease in staff allocation leading to a save of $150.

2.Stock Keeping Unit (SKU) Level Forecasting for Manufacturing Industry

●Scrutinized data containing 30 SKU’s, established new metrics and developed reports by performing best fit combination of Time Series Algorithms for improving quality and accuracy of forecast.

●Led the effort to segment SKU’s based on usage pattern for developing targeted product campaign for specific segment

Impact: The client licensed our tool for ~$48K due to its effectiveness.

30% increase in customer engagement for our client.

Honeywell Advance Solutions May 2016 – June 2016

Intern

●Worked on KPI Tool kit using VBA and macros to clean the raw data for data consistency.

●Rectified a production issue in the system responsible for extraction of hierarchy of Parent / Child KPI’s.

ACADEMIC PROJECTS

Job Portal Management System (In Process)

●Analyzed the database requirements for creating a job portal and performed database development life cycle.

●Designed a relational database design by creating enhanced ERD using Visio and performing normalization to fulfill business needs.

Predictive Housing Sales Price

●Predictive Analysis on Seattle Housing dataset to understand relationship between price and amenities.

●Strategized business models and identified factors influencing the sale’s price by performing hypothesis testing to improve feature selection.

●Achieved Model tuning and selection using cross validation on models and achieving an accuracy of 92% using R.

Book Recommendation System

●Developed a recommendation system using a user based Collaborative Filter Method in Python.

●Created the database for books by leveraging techniques like web scraping and barcode scanning.

●Analyzed user’s rating behavior using similarity correlation function to provide book recommendations to similar users.

Market Basket Analysis

●Applied ‘Market Basket Analysis’ on a large customer transaction data to discover top 15 trending patterns for cross selling the products.

●Uncovering the associations between the items for decision making to improve customer shopping experience and initiate target marketing.

LEADERSHIP AND ACHIEVEMENTS

Awarded the “Rising Star Award” at NASA International Space App Challenge Hackathon, Seattle 2019.

Won the “Best Customer Validation” Award at the TechStars Startup weekend, powered by Google for Startups 2019.

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